The analysis of automated logs involves several steps: 1. Data Cleaning: Removing any inconsistencies or errors in the data. 2. Data Integration: Combining data from multiple sources or experiments. 3. Statistical Analysis: Applying statistical methods to identify trends and correlations. 4. Modeling: Developing computational models to predict reaction outcomes. 5. Visualization: Creating graphs and charts to present data insights.
